How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 144 [Paul amorese] *
361 [Fishbone] *
9 [Rocky George] *
9 [Torrell Ruffin] *
1 [Angelo Moore] *
1 [Anthony Brewster] *
1 [Charlie Down] *
1 [Christopher Dowd] *
1 [Curtis Storey] *
1 [Elizabeth Lea] *
16 [John Bigham] *
1 [John McKnight] *
16 [John Norwood Fisher] *
1 [John Steward] *
1 [Kendall Jones] *
1 [Mark Phillips (7)] *
1 [Marlon Williams (3)] *
1 [Paul Hampton (2)] *
1 [Phillip Fisher]
)
= 1.08B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul amorese] *
1 [Fishbone] *
1 [Rocky George] *
1 [Torrell Ruffin] *
1 [Angelo Moore] *
1 [Anthony Brewster] *
1 [Charlie Down] *
1 [Christopher Dowd] *
1 [Curtis Storey] *
1 [Elizabeth Lea] *
1 [John Bigham] *
1 [John McKnight] *
1 [John Norwood Fisher] *
1 [John Steward] *
1 [Kendall Jones] *
1 [Mark Phillips (7)] *
1 [Marlon Williams (3)] *
1 [Paul Hampton (2)] *
1 [Phillip Fisher]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Fishbone 63.44%Paul amorese 25.31%John Bigham 2.81%John Norwood Fisher 2.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)